2014
DOI: 10.1038/nbt.2895
|View full text |Cite
|
Sign up to set email alerts
|

A unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data

Abstract: High-throughput sequencing of related individuals has become an important tool for studying human disease. However, owing to technical complexity and lack of available tools, most pedigree-based sequencing studies rely on an ad hoc combination of suboptimal analyses. Here we present pedigree-VAAST (pVAAST), a disease-gene identification tool designed for high-throughput sequence data in pedigrees. pVAAST uses a sequence-based model to perform variant and gene-based linkage analysis. Linkage information is then… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
89
0

Year Published

2014
2014
2018
2018

Publication Types

Select...
10

Relationship

2
8

Authors

Journals

citations
Cited by 95 publications
(90 citation statements)
references
References 45 publications
1
89
0
Order By: Relevance
“…pVAAST incorporates linkage, association, and variant severity. This method has been shown to be superior to other methods in analyzing genome sequencing data for autosomal dominant, autosomal recessive, and particularly relevant to the MRKH phenotype, dominant inheritance resulting from de novo mutations (40). Digenic/polygenic disease is also amenable to pVAAST analysis (40).…”
Section: Discussionmentioning
confidence: 99%
“…pVAAST incorporates linkage, association, and variant severity. This method has been shown to be superior to other methods in analyzing genome sequencing data for autosomal dominant, autosomal recessive, and particularly relevant to the MRKH phenotype, dominant inheritance resulting from de novo mutations (40). Digenic/polygenic disease is also amenable to pVAAST analysis (40).…”
Section: Discussionmentioning
confidence: 99%
“…Sequence alignment to the human reference genome (UCSC hg19) was performed using the Burrows-Wheeler Aligner algorithm, 40 and variant calling was performed using the Genome Analysis Toolkit (Broad Institute, Cambridge, MA, USA). 41 The following criteria were used to generate a list of variants for each family for follow-up genotyping of other family members and cosegregation analysis: (1) on the assumption that disease-causing variants were rare, we excluded all common single-nucleotide polymorphisms (MAF41%) in dbSNP v.137; (2) the variant was shared between individuals with ET within a family; and (3) the variant was ranked by the software tool pVAAST (see Web Resources) 42 (using a dominant model and the maximum number of permutations of 1 000 000) with P-value o0.05.…”
Section: Whole-exome Sequencing Analysismentioning
confidence: 99%
“…Such tools include linkage, 1 family-based association, 2 pedigree-aware imputation, pedigree-aware phasing, Mendelian error checking, heritability, and pVAAST (Pedigree Variant Annotation, Analysis, and Search Tool). 3 In many instances, knowing the pedigree that is consistent with the generated genetic data is crucial to solving the disease. [4][5][6][7] Additionally, the collection of samples from a limited geographical region for a genetic analysis might introduce biases toward unintentionally obtaining samples of unknown relatedness for which a previously unknown pedigree could be reconstructed and used.…”
Section: Introductionmentioning
confidence: 99%